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Qwen: Qwen3.5-27BDense Reasoning Powerhouse

Try Qwen: Qwen3.5-27BAPI Documentation

Deploy Qwen3.5-27B Capabilities

262K Context

Process Vast Inputs

Handle 262,144 tokens natively, extensible to 1M for long documents and conversations.

Multimodal Support

Text Image Video

Qwen: Qwen3.5-27B API processes text, images, videos with visual reasoning matching top models.

Reasoning Mode

Step-by-Step Thinking

Enable reasoning parameter for transparent chain-of-thought outputs in complex tasks.

Examples

See what Qwen: Qwen3.5-27B can create

Copy any prompt below and try it yourself in the playground.

Code Debug

“Analyze this Python function for bugs and suggest fixes: def factorial(n): if n == 0: return 1 else: return n * factorial(n+1). Explain step-by-step.”

Math Proof

“Prove that the sum of angles in a triangle is 180 degrees. Use geometric reasoning and provide a diagram description.”

Document Summary

“Summarize key points from this 10-page research paper on quantum computing advancements, highlighting breakthroughs and limitations.”

Multilingual Translation

“Translate this technical report from Chinese to English, preserving code snippets and mathematical formulas accurately.”

For Developers

A few lines of code.
Reasoning LLM. Two Lines.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Qwen: Qwen3.5-27B

Read the docs

Qwen: Qwen3.5-27B is Alibaba's dense 27B parameter LLM activating all parameters per token. It excels in reasoning, coding, and supports 201 languages. Open-weight under Apache 2.0.

Use OpenAI-compatible endpoints like OpenRouter or DeepInfra with model ID qwen/qwen3.5-27b. Integrate via Python, JS, or cURL in minutes. Pricing starts at $0.002 per 1M output tokens.

Native 262,144 tokens, extensible to 1M. Supports up to 66K output tokens per response. Ideal for long-context tasks.

Matches Claude Sonnet 4.5 on visual reasoning and ties GPT-5 mini on SWE-bench at 72.4. Dense architecture suits consumer hardware and production.

Processes text, images, videos with tool calling and structured outputs. Use reasoning mode for step-by-step analysis.

Outputs 87.4 tokens per second on Alibaba API. Balances speed and intelligence with Intelligence Index score of 42.

Ready to create?

Start generating with Qwen: Qwen3.5-27B on ModelsLab.

Try Qwen: Qwen3.5-27BAPI Documentation